MIT's Picture Language Lets Computers Recognize Faces Through Inference
itwbennett writes: MIT researchers are working on a new programming language called Picture, which could radically reduce the amount of coding needed to help computers recognize objects in images and video. It is a prototype of how a relatively novel form of programming, called probabilistic programming, could reduce the amount of code needed for such complex tasks. In one test of the new language, the researchers were able to cut thousands of lines of code in one image recognition program down to fewer than 50.
"...the researchers were able to cut thousands of lines of code in one image recognition program down to fewer than 50."
How many lines of code were used to write the MIT Picture language? The article summary claims to have replaced thousands of lines of code in an existing application yet do not mention the line count of the Picture language.
... long.
It little behooves the best of us to comment on the rest of us.
Anybody have a coded example?
Table-ized A.I.
I get it, 'relatively novel'. So novel that we've been doing it for several decades and it has been used by everything from the atomic weapons program and space program to teaching Samsung how to eavesdrop on our living room conversations.
From TFA:
“This is the first time that we’re introducing probabilistic programming in the vision area,” says Tejas Kulkarni, an MIT graduate student in brain and cognitive sciences and first author on the new paper. “The whole hope is to write very flexible models, both generative and discriminative models, as short probabilistic code, and then not do anything else. General-purpose inference schemes solve the problems.”
Computer Vision research has been behind other AI areas in its use of generalisable code, but current AI and machine learning algorithms are effective and efficient enough that image processing with them is finally practical. That's the novelty.
Got them moderator blues I blieve I walk out the do', With these mod-points I been gettin', I 'most never post no mo'